{"id":"W2624381531","doi":"10.6028/nist.ir.6595","title":"Materials reliability division, FY 2000 programs and accomplishments","year":2001,"lang":"en","type":"report","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Standards and Technology","keywords":"Division (mathematics); Reliability (semiconductor); Reliability engineering; Computer science; Engineering; Mathematics; Arithmetic; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003028637,0.000285728,0.0003744537,0.00006809893,0.00005087571,0.0002055849,0.000120339,0.0002975926,0.001136696],"category_scores_gemma":[0.00003243428,0.0002377937,0.00003483471,0.00006841721,0.0000219693,0.0001232503,0.00007493519,0.0001414956,0.00001900191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491246,"about_ca_system_score_gemma":0.0000615715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002473976,"about_ca_topic_score_gemma":0.00001275843,"domain_scores_codex":[0.9986482,0.00001087683,0.0004093767,0.0003273682,0.0003582544,0.0002459325],"domain_scores_gemma":[0.9993938,0.00001181857,0.00007376483,0.00030792,0.0001319578,0.00008078486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000318369,0.0003473476,0.01771807,0.01477247,0.0004423186,0.00004767402,0.0004319743,0.06291104,0.00009050479,0.0000258875,0.0966074,0.8065735],"study_design_scores_gemma":[0.0006124854,0.00009410769,0.03250803,0.000989012,0.0001561808,0.00005988067,0.00002329573,0.0030983,0.005542655,0.0006887086,0.9544201,0.00180722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2744575,0.004191889,0.0268396,0.0001114379,0.008458225,0.003740242,0.000147246,0.004829156,0.6772248],"genre_scores_gemma":[0.9547856,0.01164,0.005146998,0.00002357252,0.0005151444,0.0001822514,0.001125211,0.0001919377,0.02638925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8578127,"threshold_uncertainty_score":0.9997764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155625652613347,"score_gpt":0.2515018814649404,"score_spread":0.2299456249388069,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}